manu-choraria
I am an aspiring data analyst and content writer who enjoys connecting the dots and sharing the knowledge I possess with the technological world.
Surat, Gujarat, India
Pinned Repositories
Covid-19-Cases-Time-Series-Analysis
Covid-Vaccination-Dashboard.github.io
This respository consists of India Covid Vaccination Dashboard built through Microsoft Power BI in dark UI. It represents the vaccination, and registrations of various states using various charts and cards of powerBI. The dataset is taken from the Cowin website of Indian government.
Creating-Pivot-Tables-and-Dashboards-using-Excel
This repository consists of Excel files containing Pivot tables and Financial Dashboard using Microsoft Excel under Start-Tech i-step Program
Customer-Behaviour-Prediction
D3-Dashboard.github.io
This Repository consists of the D3.js dashboard code on Crime analysis
Data-Shaping-Using-python
Data-Visualization-Using-Python
Different-Binning-Methods-Using-Python
The following repository describe the implementation of different binning methods in python. I have taken the dataset in the form of a list and performed equal binning, binning by mean, binning by median and binning by boundaries using math and numpy libraries.
EDA-on-Real-Time-Sales-And-Customer-Reviews-Dataset
Normalizations_Using_Menu_Driven
We have implemented Different types of normalizations techniques min-max normalization, Z-scale normalization, and decimal scaling normalization using menu- driven approach. We have used a user-input method for taking inputs from the user and perform normalization on the data value.
manu-choraria's Repositories
manu-choraria/Covid-Vaccination-Dashboard.github.io
This respository consists of India Covid Vaccination Dashboard built through Microsoft Power BI in dark UI. It represents the vaccination, and registrations of various states using various charts and cards of powerBI. The dataset is taken from the Cowin website of Indian government.
manu-choraria/Normalizations_Using_Menu_Driven
We have implemented Different types of normalizations techniques min-max normalization, Z-scale normalization, and decimal scaling normalization using menu- driven approach. We have used a user-input method for taking inputs from the user and perform normalization on the data value.
manu-choraria/Covid-19-Cases-Time-Series-Analysis
manu-choraria/Creating-Pivot-Tables-and-Dashboards-using-Excel
This repository consists of Excel files containing Pivot tables and Financial Dashboard using Microsoft Excel under Start-Tech i-step Program
manu-choraria/Customer-Behaviour-Prediction
manu-choraria/D3-Dashboard.github.io
This Repository consists of the D3.js dashboard code on Crime analysis
manu-choraria/Data-Shaping-Using-python
manu-choraria/Data-Visualization-Using-Python
manu-choraria/Different-Binning-Methods-Using-Python
The following repository describe the implementation of different binning methods in python. I have taken the dataset in the form of a list and performed equal binning, binning by mean, binning by median and binning by boundaries using math and numpy libraries.
manu-choraria/EDA-on-Real-Time-Sales-And-Customer-Reviews-Dataset
manu-choraria/Employment-Retention-Prediction-Using-Linear-Regression
manu-choraria/Five-Point-Summarization
The following Repository Displays the use of five point Summary and as well as mean and mode using the Pandas and Numpy library with the help of linnerud dataset which is an inbuilt dataset in sklearn library. We have used Google colab for the illustration purpose.
manu-choraria/Handling-Missing-Values-Using-Imputer
manu-choraria/Image-Transformations-Using-Python
manu-choraria/IPL-Matches-Analysis-Using-SQL-on-Microsoft-SSMS
This repository Consists of IPL matches analysis SQL files performed on Microsoft SQL Server Management Studio (SSMS) under the i-Step Program Task-2
manu-choraria/Prediction-Using-Random-Forest
manu-choraria/Read-Data-From-XML-Csv-and-Excel-File
manu-choraria/Regression-Models-Comparison
The Following Repository Demonstrates the Comparison of Linear Regression and Multiple Linear Regression efficiency by using the housing prediction dataset. It also consists of the visualization of datasets and correlations among attributes of the dataset.
manu-choraria/Spearman-s-rank-Corelation
manu-choraria/Using-PostGreSql-With-Python